• 沒有找到結果。

5.1 ࿂ᅭᐋ๴߻ନ૛Ꮚᑔᒧᆶғނᔠۓ!

在文檔中 痲瘋樹可用除草劑之篩選 (頁 40-97)

࿂ᅭᐋ๴߻ନ૛Ꮚᑔᒧ၂ᡍύ 14 ᅿନ૛Ꮚჹ࿂ᅭᐋᅿηว޵౗ϐቹៜᆶჹྣ

ಔคᡉ๱ৡ౦Ƕ૛ಥృǵၲԖᓪϷྐѸృࣣࣁӀӝس಍ II ׭ڋᏊǹၲԖᓪࣁֿન ᜪନ૛ᏊǴࡼᛰࡕЬाఠԝϩѲܭ 2-3 Ϧϩభβϐᚇ૛ǴԶբނᅿηϷਥӧᛰᏊቫ ϐΠၨόڙቹៜ(ጯᆶጯǴ2008a)Ƕ܎૛ᆶ΍୷܎૛ӕࣁ޵׭ڋᏊǴ׭ڋңҁࣽभ ғߏϷᗡယ૛ਥ೽Ǵ΍୷܎૛ჹНዿޔኞभ཮Ԗ׭ڋ౜ຝǴჹ౽෌भ߾ค׭ڋ౜

ຝ(ጯᆶጯǴ2008a)ǴΒǴѤ-ӦᆶΟෛКϷזլ૛ࣣࣁғߏፓ࿯Ꮚࠠନ૛ᏊǴЬा

ࣁ׭ڋᗡယᚇ૛ǴΟޣೀ౛Πϐ࿂ᅭᐋᅿη๴޵౗ᗨฅᆶჹྣಔ࣬Кคᡉ๱ৡ౦Ǵ ՠܭ࿂ᅭᐋѴभёᢀჸډಳ՜ߏסԔϐᛰ্ϸᔈǴჹ࿂ᅭᐋѴभғߏวػౢғቹ ៜǶҷ஌දჹңҁࣽᚇ૛ڀԖଯᒧ᏷܄Ǵჹᗡယᚇ૛൳ЯคቹៜǶ(Luo et al., 2002)Ƕ

ࡼҔྐ૛ữ(1.50 kg ha-1)ǵѰ௽ವӭ૛(1.20 kg ha-1)ǵ኷ྐ૛(1.20 kg ha-1)ǵൺ

࿢޹(1.00 kg ha-1)Ϸ๴ࡕନ૛Ꮚԭೲໜ(0.50 kg ha-1)ჹ࿂ᅭᐋᅿηว޵׭ڋᆶჹྣ

ಔ ࣬ К Ԗ ᡉ ๱ ޑ ৡ ౦ Ƕ ԭ ೲ ໜ ࣁ ữ ୷ ለ ӝ ԋ ׭ ڋ Ꮚ Ǵ ё ӧ ཱུ ե ޑ ᐚ ࡋ Π ჹ acetolactase synthase (ALS) ሇન೷ԋ׭ڋǴӧ၂ᡍύჹ࿂ᅭᐋᅿηว޵׭ڋૈΚന ଯǴჹᗡယᚇ૛ཱུࡋ௵ག(Usui, 2001)Ƕྐ૛ữᆶѰ௽ವӭ૛׭ڋ΋ԃғң૛Ϸᗡ ယǴᆶ܎૛ǵ΍୷܎૛ӕឦ Chloroacetamides ᜪନ૛ᏊǴՠࠅᡉ๱ޑ׭ڋ࿂ᅭᐋѴ भғߏǴёૈᆶନ૛Ꮚޑၮ౽ૈΚ܈ࢂ glutathione S-transferase ޑሇનࢲ܄Ԗᜢ (Fuerst et al., 1987)Ƕൺෛ޹ᆶ኷ྐ૛ࣣឦܭጢ׭ڋᏊǴჹܭᘉယᚇ૛ڀԖؼӳޑ׭

ڋਏ݀(Achhireddy et al., 1984; Schroede, 1992)Ƕ

࿂ᅭᐋ๴߻ନ૛Ꮚ၂ᡍύᒧр܎૛ǵ૛ಥృǵࡼளলаϷॄӛ௓ڋಔԭೲໜ

຾ՉғނᔠۓǴѤᅿନ૛Ꮚೀ౛ύǵ܎૛ǵ૛ಥృჹܭ࿂ᅭᐋᅿηखືϷਥ׭ڋ

ၲ 50%܌ሡᐚࡋεܭ 500 mg L-1Ǵࡼளলჹܭ࿂ᅭᐋᅿηਥ׭ڋ׭ڋၲ 50%܌ሡᐚ ࡋΨௗ߈ 500 mg L-1ǴԶԭೲໜ׭ڋၲ 50%܌ሡᐚࡋࣣλܭ 5 mg L-1 Ǵ߻Γࣴزύ ጯᆶጯ฻Γ(2008b)аԭೲໜჹ⽋ᴦखਥ׭ڋၲ 50%܌ሡᐚࡋࣁ 1.6 ppm ֆ฻Γ (2007)аԭೲໜೀ౛☞૛ٿϺ׭ڋၲ 50%܌ሡᐚࡋࣁ 13 ppmǴᡉҢԭೲໜჹ࿂ᅭ ᐋޑ׭ڋࢲ܄ၨଯǶำ฻Γ(2006)ൔᏤ܎૛ჹଯ࿳खਥ׭ڋၲ 50%܌ሡᐚࡋࣁ 62-170 ppmǶଭᆶ૲(1994)ೀ౛܎૛ჹλഝ޵ᆶखਥ׭ڋၲ 50%܌ሡᐚࡋࣁ 22 Ϸ 16 ppmǶPhewnil et al(2012)߾ൔᏤ૛ಥృჹੌ๩ғߏ׭ڋၲ 50%܌ሡᐚࡋࣁ 13.4 ppmǶᡉҢ࣬ჹܭځдբނǴ࿂ᅭᐋჹ܎૛ǵ૛ಥృϷࡼளলΟᅿନ૛ᏊԖၨଯޑ ऐڙ܄Ǵёᒧ᏷܄ٛନᚇ૛Զόቹៜ࿂ᅭᐋғߏǶ

ҁࣴزෳ၂Α 19 ᅿନ૛Ꮚჹ࿂ᅭᐋᅿηว޵౗ޑቹៜǴୖ၂ᛰᏊύ 14 ᅿନ

૛Ꮚჹ࿂ᅭᐋᅿη๴޵౗ᆶჹྣಔคᡉ๱ৡ౦ǴᡉҢ૛ಥృǵ܎૛ǵ΍୷܎૛ǵ

ၲԖᓪǵྐѸృǵࡼளলǵᏳΏӼǵҁၲໜǵҷ஌දǵڰఠ૛ǵ჏ᕗ༞฻ᛰᏊڀ ወΚᔈҔܭ࿂ᅭᐋ๴߻ᚇ૛ᆅ౛Ǵځύࡷᒧ܎૛ǵ૛ಥృϷࡼளল຾Չ࿂ᅭᐋख

ືᆶਥ՜ߏϐғނᔠۓǴᡉҢ܎૛ǵ૛ಥృϷࡼளলჹܭ࿂ᅭᐋѴभखືᆶਥޑ ғߏ׭ڋࢲ܄ၨեǴЪځҖ໔Ҕໆςىаၲډᚇ૛׭ڋǶ

5.2 ࿂ ࿂ᅭᐋ๴ࡕନ૛Ꮚᑔᒧᆶᛰ্ᔠۓ!

๴߻ନ૛ᏊࡼҔࡕǴ૛ಥృǵၲԖᓪϷྐѸృჹ࿂ᅭᐋ෌ਲ਼ϐғߏวػԖᝄ ख़໾্Ǵ೭Οᅿନ૛ᏊϐբҔᐒڋࣣࣁӧӀӝس಍ II (photosystem II)׭ڋӀӝբҔ ϐ຾Չ(Cobb, 1992; Devine et al., 1993)ǴᛰᏊೀ౛ࡕᛰ্ቻރЬाࣁယТ໳ϯ๺঒Ƕ 16 DATࡕယТኧҞቃਗ਼෧Ͽ(߄ 11)Ǵ૛ಥృ(1.60 kg ha-1)ǵၲԖᓪ(2.00 kg ha-1

ၲԖᓪ(1.00 kg ha-1)ೀ౛ಔ෌ਲ਼ҭᎁڙᝄख़ϐғߏߔᛖ(߄ 5ǵ߄ 6)ǶErasmo et al.

(2009)ޑࣴزҭࡰр૛ಥృ(3.00 kg ha-1)ೀ౛೷ԋ࿂ᅭᐋᝄख़ᛰ্ǴՠӧӕࣴزύǴ

ၲԖᓪ(2.00 kg ha-1)ೀ౛೷ԋޑ߃ය໾্ёӣൺԿᆶჹྣೀ౛คᡉ๱ৡ౦Ƕҁࣴز ύܭ࿂ᅭᐋ෌ਲ਼ғߏԿ 30 cm ਔ຾Չନ૛Ꮚೀ౛ǴԶ Erasmo et al. (2009)ޑࣴزύ

߾ࣁ࿂ᅭᐋᅿηኞᅿࡕջ຾Չ๴߻ନ૛Ꮚೀ౛Ǵ೭ёૈࢂӢࣁନ૛Ꮚೀ౛БԄό ӕԶ೷ԋ่݀ޑৡ౦Ƕ

܎૛(2.50 kg ha-1)ೀ౛೷ԋ࿂ᅭᐋ෌ਲ਼ϐᇸ༾໾্Ǵቹៜ෌ਲ਼ಳယғߏϷଳᗲ ᅿಕᑈǴՠ܎૛(1.25 kg ha-1)Ϸ΍୷܎૛(1.50, 0.75 kg ha-1)ೀ౛߾ค׭ڋ࿂ᅭᐋ෌

ਲ਼ϐғߏǶࡼளলೀ౛ᗨฅቹៜ࿂ᅭᐋਲ਼ଯғߏǴՠӧᗲଳख़ಕᑈ΢ᆶჹྣೀ౛

คᡉ๱ৡ౦Ƕӧ࣬ᜢࣴزύҭԖ࣬՟่݀Ǵࡼளল(1.25 kg ha-1)ೀ౛ό཮׭ڋ࿂ᅭ ᐋ෌ਲ਼ϐғߏวػǴਲ਼ଯǵಳ৩Ϸϩ݄ኧᆶჹྣೀ౛คᡉ๱ৡ౦(Erasmo et al., 2009)ǹ ќ΋ࣴز߾ᡉҢࡼளল(1.50 kg ha-1)ჹΟᅿ୷Ӣࠠ࿂ᅭᐋޑᛰ্ࣣӧ 10%аΠǴ፾

ӝܭ࿂ᅭᐋϐᚇ૛ᆅ౛΢٬Ҕ(Rocha et al., 2010)Ƕ

๴ࡕନ૛ᏊΒǴѤ-ӦϷΟෛКࣁғߏનࠠନ૛ᏊǴբҔჹຝࣁᗡယ෌ނ(Cobb, 1992; Devine et al., 1993)ǴӢԜࡼҔࡕჹ࿂ᅭᐋ෌ਲ਼ౢғᝄख़ϐ໾্Ƕڰఠ૛ࣁௗ

᝻ࠠନ૛ᏊǴբҔᐒڋࣁ׭ڋ෌ނ glutamine synthetase (GS)ሇનϐբҔǴ೷ԋ෌ނ ᡏϣ਽ϐжᖴڙߔǴౢғࢥ্౜ຝ (ЦǴ2000)Ƕ჏ᕗ༞ࣁس಍ࠠନ૛ᏊǴբҔᐒ ڋࣁ׭ڋ EPSP ӝԋ䁙Ǵ೷ԋ෌ނᡏϣޱ३௼ữ୷ለӝԋڙߔԶౢғࢥ্(Cobb, 1992; Devine et al., 1993)Ƕڰఠ૛Ϸ჏ᕗ༞ࣣឦܭ๴ࡕߚᒧ᏷܄ନ૛ᏊǴࡼҔࡕჹ

࿂ᅭᐋ෌ਲ਼ౢғᝄख़ޑࢥ্բҔǴߔᛖғߏࣗԿ೷ԋ෌ਲ਼ԝΫǶҁၲໜᆶ๴߻ନ

૛Ꮚ૛ಥృǵၲԖᓪϷྐѸృӕࣁӀӝբҔ׭ڋࠠନ૛ᏊǴՠҁၲໜೀ౛ࡕ٠҂

ჹ࿂ᅭᐋ෌ਲ਼ౢғᝄख़ϐᛰ্Ƕҷ஌දữ୷ለӝԋ׭ڋࠠନ૛ᏊǴჹ࿂ᅭᐋҭ҂

೷ԋ໾্(߄ 17ǵ߄ 18)ǶҁၲໜբҔჹຝࣁᗡယᚇ૛Ǵҷ஌දբҔჹຝࣁңҁࣽ

ᚇ૛Ǵ೭ٿᅿନ૛Ꮚჹ࿂ᅭᐋϐғߏคܴᡉϐߔᛖǴҭёа፾ӝܭ࿂ᅭᐋϐᚇ૛

ᆅ౛΢٬ҔǶ

ନ૛ᏊቔࡼਔёૈӢᏹբό྽ǵᛰᏊតණ฻ӢનԶჹբނౢғቹៜǴନ૛Ꮚ

཮ޔௗ܈໔ௗޑቹៜ෌ނӀӝբҔǴ׭ڋӀس಍аϷႝη໺ሀᗗૈΚǴ٠फ़եယ ᆘન֖ໆ(Draber et al., 1991)ǶฅԶᛰ্ౢғԿ߄౜ය໔෌ਲ਼ёૈςڙᝄख़ޑቹៜǶ Ӏғ౛ࡰ኱ύதᄊϯৡ౦෌ғࡰ኱(NDVI)ᆶယᆘન֖Ԗࡰኧ(SPAD)ёϸࢀယТယ ᆘન֖ໆޑᡂϯ(Gitelson and Merzlya, 1998; Markwell et al., 1995; Uddling et al., 2007)ǴӀໆηౢॶȐQYȑ߾ёϸᔈ෌ਲ਼ӀӝբҔႝη໺ሀᗗޑૈΚ(Hogewoning et al., 2012)Ƕᙖҗ΢ॊࡰ኱ёаזೲᕇள෌ਲ਼ޑғ౛ރᄊǶ๴߻ନ૛Ꮚ૛ಥృǵၲԖ ᓪǵྐѸృᆶ๴ࡕନ૛ᏊҁၲໜЬࣣࣁჹӀӝس಍຾Չ׭ڋǴޔௗϸᔈӧӀໆη

ౢॶȐQYȑယᆘન֖Ԗࡰኧ(SPAD)!Ϸதᄊϯৡ౦෌ғࡰ኱(NDVI)ޑ߄౜΢ǶΟ

ෛКࣁғߏፓ࿯Ꮚࠠନ૛ᏊǴ཮٬෌ނזೲғߏԶ࢏ᆃǴനಖϸࢀӧ෌ਲ਼Ӏӝૈ

ΚޑΠफ़ᆶယᆘનޑफ़ှǶڰఠ૛ࣁ glutamine synthetase (GS)ሇન׭ڋᏊǴ߻Γࣴ

زӭԖගϷ཮ቹៜ෌ނӀӝբҔǴՠځբҔᐒڋϝԖࡑᙶమ(Coetzer and Al-Khatib, 2001)Ƕ่݀ᡉҢࡼҔբҔᐒڋᆶӀӝբҔ࣬ᜢϐନ૛ᏊࡕǴନ૛Ꮚჹܭ࿂ᅭᐋӀ ӝբҔޑቹៜ཮ϸᔈӧӀғ౛ࡰ኱ޑ߄౜΢ǴᇥܴӀғ౛ࡰ኱ॶёջਔᅱෳࡼҔ

ᛰᏊჹܭ࿂ᅭᐋޑቹៜǴаբࣁࡕុᚇ૛ᆅ౛Ҕᛰޑ٩ᏵǶ

ҁࣴزෳ၂Α 6 ᅿ๴߻ନ૛ᏊϷ 6 ᅿ๴ࡕନ૛ᏊࡼҔჹ࿂ᅭᐋ෌ਲ਼ϐቹៜǴ ᑔᒧ፾ӝܭ࿂ᅭᐋҖ໔ਭ୻ᚇ૛ᆅ౛΢٬Ҕϐନ૛ᏊǶ่݀ᡉҢ๴߻ନ૛Ꮚ܎૛

(1.25 kg ha-1)ǵ΍୷܎૛(1.50, 0.75 kg ha-1)ǵࡼளল(1.25, 0.63 kg ha-1)Ϸ๴ࡕନ૛Ꮚ ҁၲໜ(1.20, 0.60 kg ha-1)ǵҷ஌ද(0.25, 0.13 kg ha-1)ೀ౛ჹ࿂ᅭᐋ෌ਲ਼คܴᡉϐғ ߏߔᛖǴڀԖወΚё፾Ҕܭ࿂ᅭᐋਭ୻ϐᚇ૛ٛନ΢Ƕ

5.3 ࿂ ࿂ᅭᐋҖ໔ନ૛Ꮚ၂ᡍ!

ҁࣴزෳ၂࿂ᅭᐋό᏾Ӧਭ୻ύǴଞჹҶહҖᅿ෌ᙟᇂբނȐҖ๭ȑࡕբᅿ

෌ό᏾Ӧ࿂ᅭᐋӕਔ໔բߙപҏԯǴ٠ܭ࿂ᅭᐋϷҏԯ෌߻ቔࡼନ૛ᏊǴаΑှ

ନ૛Ꮚჹ࿂ᅭᐋϷ໔բҏԯޑቹៜǶ่݀ᡉҢ࿂ᅭᐋᆶҏԯрβਔ໔όڙନ૛Ꮚ ቔࡼቹៜЪᆶЎ᝘΋ठ(ើ฻ΓǴ2007)ǴҖ໔ᚇ૛߾೏Ԗਏޑٛନ(კ 24)Ǵܭ࿂ᅭ ᐋϷҏԯѴਲ਼Կԋਲ਼ࣣคᢀჸډܴᡉϐᛰ্ౢғǴᆶ࿂ᅭᐋ๴ࡕନ૛Ꮚ၂ᡍ่݀

΋ठǶ૛ಥృᆶ܎૛ࣁᒧ᏷܄ᗡယ૛ନ૛ᏊǴς೏ቶݱᔈҔܭҏԯਭ୻ύ(Gaynor et al., 1992; Shimabukuro et al., 1971)Ƕ჏ᕗᖻᗨฅࣁቶਏ܄ନ૛ᏊǴՠቔࡼࡕ཮ᆶ βᝆ่ӝԶफ़եբނԖਏ֎ԏޑໆ(Sprankle et al., 1975)ǶӢԜ࿂ᅭᐋᆶҏԯрβࡕǴ βᝆύ჏ᕗᖻԖਏ֖ໆёૈόىаၲډ׭ڋǶԜѦᆶҖ๭ࡕբᅿ෌ό᏾Ӧ࿂ᅭᐋ ٠໔բߙപҏԯǴჹཥ෌࿂ᅭᐋԋ݅߃යޑᚇ૛ૈԖਏޑ௓ڋǴЪό᏾Ӧਭ୻ё Ԗਏ෧Ͽ᏾Ӧբ཰ԋҁЍрǴ٠ቚу΋යբߙപҏԯޑԏ੻Ƕ

ҁࣴزෳ၂࿂ᅭᐋό᏾Ӧਭ୻ڋࡋύቔࡼନ૛ᏊషᏊ჏ᕗᖻ(1.6 kg ha-1)ɠ܎

૛(1.4 kg ha-1)ɠ૛ಥృ(1.6kg ha-1)ჹܭ࿂ᅭᐋϷҏԯޑቹៜǴ่݀ᡉҢ჏ᕗᖻ(1.6 kg ha-1)ɠ܎૛(1.4 kg ha-1)ɠ૛ಥృ(1.6kg ha-1)Ǵჹ࿂ᅭᐋϷҏԯ෌ਲ਼คܴᡉϐ๴޵

ϷғߏߔᛖǴڀወΚᔈҔܭ࿂ᅭᐋό᏾Ӧਭ୻Ϸ࿂ᅭᐋҖ໔բҏԯਔϐᚇ૛ᆅ౛

ϐ௢ᙚҔᛰǶ

ಃϤകǵ่ᇟϷ҂ٰ৖ఈ

ҁࣴزᑔᒧёҔܭ࿂ᅭᐋ๴߻Ϸ๴ࡕᚇ૛ᆅ౛ϐନ૛ᏊǴ٠ᢀჸ໔բڋࡋΠ ନ૛ᏊࡼҔჹ࿂ᅭᐋϷ໔բբނҏԯϐቹៜǴ߃؁ჹܭ࿂ᅭᐋ๴߻Ϸ๴ࡕᚇ૛ᆅ

౛௢ᙚኧᅿёҔϐନ૛ᏊǴගٮӭᅿᒧ᏷аᅈىόӕޑᚇ૛ᆅ౛ሡ؃

࿂ᅭᐋ๴߻ᚇ૛ᆅ౛၂ᡍύǴ૛ಥృǵ܎૛ǵ΍୷܎૛ǵၲԖᓪǵྐѸృǵ

ࡼளলǵᏳΏӼǵҁၲໜǵҷ஌දǵڰఠ૛ᆶ჏ᕗ༞ჹ࿂ᅭᐋᅿη๴޵Ϸғߏค

ܴᡉ׭ڋǴڀወΚᔈҔܭ࿂ᅭᐋ๴߻ᚇ૛ᆅ౛Ƕ

࿂ᅭᐋ๴ࡕନ૛Ꮚ၂ᡍύǴ๴߻ନ૛Ꮚ܎૛(1.25 kg ha-1)ǵ΍୷܎૛(1.50, 0.75 kg ha-1)ǵࡼளল(1.25, 0.63 kg ha-1)Ϸ๴ࡕନ૛Ꮚҁၲໜ(1.20, 0.60 kg ha-1)ǵҷ஌ද (0.25, 0.13 kg ha-1)ೀ౛ჹ࿂ᅭᐋ෌ਲ਼คܴᡉϐғߏߔᛖǴڀԖወΚё፾Ҕܭ࿂ᅭᐋ

๴ࡕϐᚇ૛ᆅ౛Ƕ

࿂ᅭᐋҖ໔ନ૛Ꮚ၂ᡍύǴ჏ᕗᖻ(1.6 kg ha-1)ɠ܎૛(1.4 kg ha-1)ɠ૛ಥృ

(1.6kg ha-1)షᏊჹܭ࿂ᅭᐋᆶҏԯғߏคܴᡉϐғߏߔᛖǴёᔈҔܭ࿂ᅭᐋό᏾Ӧ ਭ୻ϐᚇ૛ᆅ౛Ƕ

҂ٰϝሡ׳຾΋؁ޑࣴزٰࡌҥ፾ӝѠ᡼ޑ࿂ᅭᐋਭ୻ڋࡋǴаϷΑှନ૛

Ꮚჹ࿂ᅭᐋϷόӕ໔բբނϐቹៜǴٮόӕਭ୻ڋࡋջόӕᚇ૛ᆅ౛ሡ؃௢ᙚӝ

፾ϐନ૛ᏊǴаයၲԋԖਏޑၭᛰࡼҔǴ٠फ़եჹᕉნϷբނ܌೷ԋޑቹៜǶ

ୖԵЎ᝘

ЦדమǶ3123Ƕ࿂ᅭᐋယТගڗనჹ෌ނᅿηว޵ޑϯགਏᔈǶ౜жၭ཰ࣽמǶ 21;2::.323Ƕ!

ЦቼျǶ2000Ƕڰఠ૛ନ૛ᏊϐբҔϷל܄ᐒڋǶࣽᏢၭ཰Ƕ48:322-324Ƕ Ֆ⻡ǵဤݥǵणྍࢫǵ؅྆䬠ǵ૲౛ࡾǶ2010Ƕ࿂ᅭᐋ(Jatropha curcas L.)෌ނᏢ

ࣴز຾৖ǶߏԢࢬୱၗྍᆶᕉნǶ19:120-127Ƕ

ֆᖂඪǵЦமǵᇳᏢѳǵֆߏᑫǵഋ᜽๩ǵ؇ਕؼǶ2007Ƕ☞૛ჹ 7 ᅿନ૛Ꮚޑ

௵ག܄ϷځғނෳۓБݤޑࣴزǶੈԢၭ཰ᏢൔǶ19(1):37-41Ƕ

ڬܱѶǵ೚ᅽࢃǶ1991Ƕᙟᇂբނᆶහ݅ӆғϐ࣬ғ߽࣬բҔǶᚇ૛Ꮲ཮཮тǶ 12(1): 33-40Ƕ

݅ীǵڬᒧൎǵঞլଈǵഋܫǶ2004Ƕഞᅭᐋ෌ނၗྍࣴزཷݩǶ዗஥٥዗஥෌

ނᏢൔǶ12:285-290Ƕ

ߋ܃၍ǵጰЎᅽǶ2002ǶҖ๭ኦᇂჹό᏾Ӧਭ୻ߙപҏԯᚇ૛ᆅ౛ϷౢໆޑቹៜǶ ύ๮҇୯ᚇ૛Ꮲ཮཮тǶ23(1)13-22Ƕ

ߋࡌύǶ1995Ƕఠ૛Ꮚޑᒧ᏷܄ǶѠύ୔ၭ཰஑ૻǶ10:20-24Ƕ

ߠᅽϩǵ݅ЎᓪǶ1984Ƕό᏾Ӧਭ୻ݤϐࣴزϷ৖ఈǶࣽᏢၭ཰ 32:351-355Ƕ

ࡼݒችǵෞᅇܴǶ2010ǶѠ᡼ഞᅭᐋੰᙝ্ൔᏤǶ݅཰ࣴز஑ૻǶ17(5):68-71Ƕ ଭԄ༹ǵ૲ᐋ۸Ƕ1994Ƕλഝᅿ޵ჹ 6 ᅿ儞ữᜪନ૛Ꮚ௵ག܄ෳۓǶᚇ૛ࣽᏢǶ

1:8-9Ƕ

ଯ໩ǵᗛ଄ЦǶ2011Ƕഞᅭᐋݨᆶғނࢲ܄ނ፦ޑϩᚆપϯϷځወӧᔈҔǶϯπǶ 58(1):40-49Ƕ

஭ܴ۸ǵᘲЎ݅ǵഋཥϓǵླྀ໩݅ǵߎ݇ǵ᮶ѳǵݓົǵ૲౛ࡾǶ2008Ƕ൳ᅿନ

૛ᏊჹഞᅭᐋभҖᚇ૛ޑٛନਏ݀Ƕᚇ૛ࣽᏢǶ2:60-61Ƕ

೾ૈԋǵ݅࿤ۚǵ໳ۘကǶ1988Ƕҏԯό᏾Ӧਭ୻מೌϐࣴزǶᚇᙂբނ၂ᡍࣴ

زԃൔǶಃ 243-247 ।Ƕ

ำਥݓǵٔۇۇǵ஭ླྀǵك઒௵ǵणྻǵइܴξǶ2006Ƕଯ࿳ჹҘ૛ữޑ௵ག܄

ࣴزǶᚇᙂբނǶ26( 2):126~127Ƕ

ླྀߎܱǵഋ⋹യǶ2010ǶѠ᡼ᅿ෌ഞᅭᐋޑёՉ܄߃௖Ƕᕉნᆶᆅ౛ࣴزǶ 11:105-116Ƕ

࿶ᔮ೽ૈྍֽǶ2013ǶѠ᡼Ӧ୔ૈྍ಍ीԃൔǶ!

ၘ׆Ƕ2009Ƕ࿂ᅭᐋᅿচӧѠ᡼ғߏ੝܄ᆶᕷ෗מೌຑ՗ǶࡀܿࣽמεᏢ዗஥ၭ

཰ᄤ୯ሞӝբس܌ᅺγፕЎǶ

ቅБݹǵ׵ܲǵ৊҉ҏǶ2012Ƕύ୯࿂ᅭᐋࣴز຾৖ᆶ໒วճҔ౜ރǶύ୯ၭယ εᏢᏢൔǶ17(6):178-184Ƕ

ጯ҉҅ǵጯኀ⍍Ƕ2002Ƕၭᛰᛰ্ޑวғᆶບᘐǶၭہ཮ၭ཰ᛰނࢥނ၂ᡍ܌Ƕ

ಃ 180-182 ।Ƕ

ጯ҉҅ǵጯኀ⍍Ƕ2006ǶၭҖᚇ૛ᆶନ૛ᏊाំǶՉࡹଣၭ཰ہ঩཮ၭ཰ᛰނࢥ ނ၂ᡍ܌рހǶಃ 1-104 ।Ƕ

ጯ҉҅ǵጯኀ⍍Ƕ2008aǶதҔନ૛Ꮚϐ੝܄ᆶᔈҔǶբނບᘐᆶၭᛰ٬ҔӼӄמ

ೌЋнǶಃ 205-226 ।Ƕ

ጯ҉҅ǵጯኀ⍍Ƕ2008bǶ⽋ᴦҖନ૛ᏊᑔᒧǶύ๮҇୯ᚇ૛཮тǶ29Ǻ121-130Ƕ ጯ҉҅Ƕ2002ǶԖᐒਭ୻ϐᚇ૛ٛݯמೌǶၭ཰၂ᡍ܌੝тǶ102:97-104Ƕ

ᑵࡹѶǵߋࡌύǵᗛᆢᄪǶ2003ǶѠ᡼ጫ๼Җନ૛ᏊϐᔈҔᆶว৖Ƕύ๮҇୯ᚇ

૛Ꮲ཮཮тǶ24(2):99-113Ƕ

ᔈಏ๥Ƕ1993ǶѠ᡼ଯ฻෌ނறՅკᇞಃѤڔǶಃ 590 ।Ƕ

ᝄཥ൤Ƕ2005ǶѠ᡼Ѧٰᅿ෌ނޑЇᅿᆶճҔǶѠ᡼Ӧ୔෌ނၗྍϐӭኬ܄ว৖

ࣴ૸཮Ƕಃ 43-61 ।Ƕ

ើғဗǵഌЎࣽǵᐽᓉᎢǵणᛏǵើ଼߿Ƕ2007Ƕ࿂ᅭᐋϷځਭ୻מೌǶቶՋၭ

ᏢൔǶ22:43-45Ƕ

Jatropha curcas L: Utilization of multipurpose species for rhizoremediation. Biomass & Bioenergy 51:189-193.

Abugre S., Sam S. J. Q. (2010) Evaluating the allelopathic effect of Jatropha curcas aqueous extract on germination, radicle and plumule length of crops. Int. J. Agric. Biol. 12:769–772.

Achhireddy N. R., Kirkwood R. C., Fletcher W. W. (1984) Oxadiazon absorption, translocation, and metabolism in rice (Oryza sativa) and barnyardgrass (Echinocbloa crus-galli). Weed Science 32:727-731

Adebowale K.O., Adedire C.O. (2006) Chemical composition and insecticidal properties of the underutilized Jatropha curcas seed oil. Biotechnol. 5:901-906.

Agamuthu P., Abioye O. P., Aziz A. A. (2010) Phytoremediation of soil contaminated with used lubricating oil using Jatropha curcas. Journal of hazardous materials, 179(1):891-894.

Ali H., Khan E., Sajad M.A. (2013) Phytoremediation of heavy metals-Concepts and applications.

Chemosphere 91:869-881.

Bártoli J. A. A. (2008) Physic Nut (Jatropha curcas) Cultivation in Honduras Handbook. Agricultural Communication Center of the Honduran Foundation for Agricultural Research.

Belz R. G. (2007) Allelopathy in crop/weed interactions—an update. Pest management science 63(4):308-326.

Berazaín R., Fuente V., Sanchez-Mata D., Rufo L., Rodríguez N., Amils R. (2007) Nickel localization on tissues of hyperaccumulator species of Phyllanthus L. (Euphorbiaceae) from ultramatic areas of Cuba. BiolTrace Elem Res 115:67–86.

Berchmans H. J., Hirata S. (2008) Biodiesel production from crude Jatropha curcas L. seed oil with a high content of free fatty acids. Bioresource Technology 99:1716-1721.

Brittaine R., Lutaladio N. (2010) Jatropha: a smallholder bioenergy crop: the potential for pro-poor development. Integrated Crop Management vol. 8. FAO, Rome.

Caamal-Maldonado J.A., Jimenez-Osornio J.J., Torres-Barragan A., Anaya A.L. (2001) The use of allelopathic legume cover and mulch species for weed control in cropping systems. Agronomy

Journal 93:27-36.

Chehregani A., Malayeri B. E. (2007) Removal of heavy metals by native accumulator plants. Int. J. Agri.

Biol. 9(3):462-265.

Cobb A. (1992) Herbicides and plant physiology. Chapman & Hall, Inc. London, New York, USA.

Coetzer E., Al-Khatib K. (2001) Photosynthetic inhibition and ammonium accumulation in palmer amaranth after glufosinate application. Weed Science 49(4):454-459

Contran N., Chessa L., Lubino M., Bellavite D., Roggero P.P., Enne G. (2013) State-of-the-art of the Jatropha curcas productive chain: From sowing to biodiesel and by-products. Industrial Crops and Products 42:202-215.

Costa N. V., Erasmo E. A. L., Queiroz P. A., Dornelas D. F., Dornelas B. F. (2009). Effect of simulated glyphosate drift on the initial growth of physic nut plants. Planta Daninha 27:1105-1110.

Devine M., Duke S. O., Fedtke C. (1993) Physiology of herbicide action. P T R Prentice-Hall, Inc. New Jersey, USA.

Draber W., Tietjen K., Kluth J. F., Trebst, A. (1991), Herbicides in Photosynthesis Research. Angewandte Chemie International Edition in English 30: 1621–1633.

Erasmo E.A.L., Costa N.V., Terra M.A., Fidelis R.R., (2009) Initial tolerance of physic nut plants to pre and post-emergence herbicide application. Planta Daninha 27:571-580.

Erismann N.M., (2006) Lead uptake and tolerance of Ricinus communis L. Braz. J.Plant Physiol.

18:483-489.

Evan M.V., Filho D.O., Martins M.A., Steward B.L. (2011) Bioethanol production potential from Brazilian biodiesel co-products. Biomass Bioenerg. 35:489-494.

Fuerst E. P. (1987) Understanding the mode of action of the chloroacetamide and thiocarbamate herbicides. Weed Technology 1(4):270-277

Galloway B. A., Weston L. A. (1996) Influence of cover crop and herbicide treatment on weed control and yield in no-till sweet corn (Zea mays L.) and pumpkin (Cucurbita maxima Duch). Weed

Garbulsky M. F., Peñuelas J., Peñuelas J., Inoue Y., Filella I. (2011) The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies A review and meta-analysis. Remote Sensing of Environment 115:281-297.

Gaynor J. D., MacTavish D. C., Findlay W. I. (1992) Surface and subsurface transport of atrazine and alachlor from a Brookston clay loam under continuous corn production. Archives of Environmental Contamination and Toxicology 23(2):240-245

Ghersa C.M., Benech-Arnold R.L., Satorre E.H., Martinez-Ghersa M.A. (2000) Advances in weed management strategies. Field Crops Research 67:95-104.

Gitelson A. A., Merzlya M. N. (1998) Remote sensing of chlorophyll concentration in higher plant leaves.

Advances in Space Research 22(5)1:689–692

Gonçalves K. S., São José A. R., Velini E. D. (2009) Selectivity of oxyfluorfen for physic nut culture.

Planta Daninha 27:1111-1116.

Gonçalves K. S., Sao José A. R., Cavalieri S. D., Martins I. S. B., Velini E. D. (2011) Selectivity of herbicides applied in post-emergence on physic nut (Jatropha curcas L.). Revista Brasileira de Herbicidas 10(2):110-120

Green L. (2009). Jatropha as biofuel: an analysis of the possible implications for food Security in Mali (Doctoral dissertation, Dalhousie University)

Gübitz G. M., Mittelbach M., Trabi M. (1999) Exploitation of the tropical oil seed plant Jatropha curcas L. Bioresource Technology 67:73-82.

Hogewoning S. W., Wientjes E., Douwstra P., Trouwborst G., Ieperen W V., Croce R., Harbinson J.

(2012) Photosynthetic quantum yield dynamics: from photosystems to leaves. The Plant Cell 24:

1921–1935.

Jamil S., Abhilash P.C., Singh N., Sharma P.N., (2009) Jatropha curcas: a potential crop for phytoremediation of coal fly ash. J. Hazard. Mater. 172:269–275.

Kaushik N., Kumar K., Kumar S., Kaushik N., Roy S. (2007) Genetic variability and divergence studies in seed traits and oil content of Jatropha (Jatropha curcas L.) accessions. Biomass & Bioenergy

31:497-502.

Koh, M.Y. Ghazi T.I.M. (2011) A review of biodiesel production from Jatropha curcas L. oil. Renew.

Sust. Energ. Rev. 15:2240-2251.

Kooten, O., Snel J. F., (1990) The use of chlorophyll fluorescence nomenclature in plant stress physiology. Photosynthesis Research 25(3):147-150.

Kumar A., Sharma S. (2008) An evaluation of multipurpose oil seed crop for industrial uses (Jatropha curcas L.): A review. Industrial crops and products 28:1–10.

Kumar G.P., Yadav S.K., Thawale P.R., Singh S.K., Juwarkar A.A. (2008) Growth of Jatropha curcas on heavy metal contaminated soil amended with industrial wastes and Azotobacter - A greenhouse study. Bioresource Technology 99:2078-2082.

Kumar S., Chaube A., Jain S.K. (2011) Post copenhagen summit scenario: attainment of sustainable energy regime in india by Jatropha biodiesel. Energy & Environment 22:877-889.

Kumar S., Chaube A., Jain S.K. (2012) Critical review of jatropha biodiesel promotion policies in India.

Energy Policy 41:775-781.

Li C. Z., Li P. W., Xiao Z. H., Chen J. Z., Zhang L. B. (2012) Current progress in research and

development of woody biodiesel oil feedstock and its industrialization prospect in China. Journal of China Agricultural University 17:175-170.

Li Y. C., Guo Q. S., Shao Q. S., Zhang P., Dai X. L. (2009) Bioassay on herbicidal activity of extracts from Jatropha curcas. Journal of Plant Resources and Environment 18:72-78.

Liu F. Y., Liu L. K., Sun Y. Y. (2012) Research development and utilization status on Jatropha cucas in china. Journal of China Agricultural University 17:178-184.

Lund H. (2007) Renewable energy strategies for sustainable development. Energy 32:912–91

Luo X. Y., Matsumoto H. (2002) Susceptibility of a broad-leaved weed, Acanthospermum hispidum, to the grass herbicide fluazifop-butyl. Weed Biology and Management 2:98–10

Ma Y., Chun J., Wang S.H., Chen F. (2011) Allelopathic potential of Jatropha curcas. African Journal of

Majid N. M.,Islam M.M., Riasmi Y. (2012) Heavy metal uptake and translocation by Jatropha curcas L.

in sawdust sludge contaminated soils. Australian Journal of Crop Science 6(5):891-898 Maldonado J. A. C., Osornio J J., Barragan T. A., Anaya A. L. (2001) The use of allelopathic legume

cover and mulch spocies for weed control in cropping system. Agron. J. 93: 27-36.

Mangkoedihardjo S., Ratnawati R., Alfianti N. (2008). Phytoremediation of hexavalent chromium polluted soil using Pterocarpus indicus and Jatropha curcas L. World Appl Sci J 4(3):338-342.

Mangkoedihardjo S., Surahmaida. (2008) Jatropha curcas L. for phytoremediation of lead and cadmium polluted soil. World Appl. Sci. J. 4(4):519-522.

Markwell J., Osterman C. J., Mitchell J. L. (1995) Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynthesis Research 46:467-472.

Mohsenzadeh F., Rad A. C. (2011) Application of nano-particles of Euphorbia Macroclada for

bioremediation of heavy metal polluted environments. International Conference on Nanotechnology and Biosensors 25:16-20.

Olofsdotter M., Navarez D., Rebulanan M, Streibig J. C. (1999) Weed suppressing rice cultivars-Does allelopathy play a role. Weed Res 39:441-454.

Openshaw K. (2000) A review of Jatropha curcas: an oil plant of unfulfilled promise. Biomass &

Bioenergy 19:1-15.

Ouwens K. D., Francis G., Franken Y. J., Rijssenbeek W., Riedacker A., Foidl N., Bindraban, P. (2007).

Position paper on Jatropha curcas state of the art, small and large scale project development. Fuels from Agriculture in Communal Technology (FACT),Wageningen, The Netherlands: Wageningen Univ; 2007

Peñuelas J., Filella I. (1998) Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends Plant Sci 3:151-156.

Phewnil O.A., Tungkananurak N., Panichsakpatana S., Pitiyont B. (2012) Phytotoxicity of Atrazine Herbicide to Fresh Water Macrophyte Duckweed (Lemna perpusilla Torr.) in Thailand.

Environment and Natural Resources J. 10:16-27

Pramanik K. (2003) Properties and use of jatropha curcas oil and diesel fuel blends in compression ignition engine. Renewable Energy 28(2):239–248.

Prentice, I.C., Farquhar, G.D., Fasham, M.J.R., Goulden, M.L., Heimann, M., Kheshi, H.S., Quere, Le, C., Scholes, R.J., Wallace, D.W.R., Archer, D., Ashmore, M.R., Aumont, O., Baker, D., Battle, M., Bender, M., Bopp, L.P., Bousquet, P., Caldeira, K., Ciais, P., Cramer, W., Dentener, F., Enting, I.G., Field, C.B., Holland, E.A., Houghton, R.A., House, J.I., Ishida, A., Jain, A.K., Janssens, Ivan, Joos, F., Kaminski, T., Keeling, C.D., Kicklighter, D.W., Kohfeld, K.E., Knorr, W., Law, R., Lenton, T., Lindsay, K., Maier-Reimer, E., Manning, A., Matear, R.J., McGuire, A.D., Melillo, J.M., Meyer, R., Mund, M., Orr, J.C., Piper, S., Plattner, K., Rayner, P.J., Sitch, S., Slater, R., Taguchi, S., Tans, P.P., Tian, H.Q., Weirig, M.F., Whorf, T., Yool, A. (2001) The carbon cycle and atmospheric carbon dioxide - In: Climate change 2001: the scientific basis: contribution of Working Group I to the Third Assessment Report of the Intergouvernmental Panel on Climate Change. Cambridge University Press 183-237.

Puente-Rodríguez D. (2010). Biotechnologizing Jatropha for local sustainable development. Agriculture and Human Values 27(3):351-363.

Reeves R.D., Baker A. J. M., Borhidi A., Berazaín R. (1996) Nickel-accumulating plants from the ancient serpentine soils of Cuba. New Phytol 133:217–224

Rice E. L. (1984) Allelopathy. Academic press.

Robert E. B., Jennifer E. B. (2010) Greenhouse gas emissions and land use change from jatropha curcas-based jet fuel in brazil. Environ. Sci. Technol 44:8684–8691.

Rocha P.R.R., Silva A.F., Faria A.T., Galon L., Ferreira E.A., Felipe R.S., Silva A.A., Dias L.A.S. (2010) Selectivity of pre-emergence herbicides to physic nut (Jatropha curcas). Planta Daninha 28:801-806.

Romeiro S., Lagôa A. M. M. A., Furlani P.R., de Abreu Cl A., de Abreu M.F., Erismann N.M. (2006) Lead uptake and tolerance of Ricinus communis L Braz. J. Plant Physiol. 18:483–489

Sabandar C.W., Ahmat N., Jaafar F.M., Sahidin I. (2013) Medicinal property, phytochemistry and

Sahoo N. K., Kumar A., Sharma S., Naik, S. N. (2009) Interaction of Jatropha curcas plantation with ecosystem. Engineering & Technolog 51:666-671

SAS Institute. (1999) SAS/STAT User’s guide. Releases 9.1.3 Ed. SAS Institute, Inc. Cary, NC, USA.

Sasmaz A., Sasmaz M. (2009) The phytoremediation potential for strontium of indigenous plants growing in a mining area. Environmental and Experimental Botany 67:139-144.

Schroede J. (1992) Oxyfluorfen for directed postemergence weed control in chile peppers (Capsicum annuum). Weed Technology 6(4): 1010-1014

Shimabukuro R. H., Frear D. S., Swanson H. R., Walsh, W. C. (1971). Glutathione conjugation an enzymatic basis for atrazine resistance in corn. Plant physiology 47(1):10-14.

Shu X., Yin L.Y., Zhang Q.F., Wang W.B. (2012) Effect of Pb toxicity on leaf growth, antioxidant enzyme activities, and photosynthesis in cuttings and seedlings of Jatropha curcas L. Environmental Science and Pollution Research 19:893-902.

Silitonga A.S., Atabani A.E., Mahlia T.M.I., Masjuki H.H., Badruddin I.A., Mekhilef S. (2011) A review on prospect of Jatropha curcas for biodiesel in Indonesia. Renewable & Sustainable Energy Reviews 15:3733-3756.

Singh P., Singh S., Mishra S. P., Bhati S. K. (2010) Molecular characterization of genetic diversity in Jatropha curcas L. Genes, Genomes and Genomics 4:1-8.

Soane B.D., Ball B.C., Arvidsson J., Basch G., Moreno F., Roger-Estrade J. (2012) No-till in northern, western and south-western Europe: A review of problems and opportunities for crop production and the environment. Soil and Tillage Research 118:66-87.

Sprankle p., Meggitt W. F., Penner D. (1975) Rapid inactivation of glyphosate in the soil. Weed Science 23(3):224-228

Sunderland S. L., Santelmann P. W., Baughman T. A. (1991) A rapid, sensitive soil bioassay for sulfonylurea herbicides. Weed Science 39:296-298.

Swinton S.M., Buhler D.D., Forcella F., Gunsolus J.L., King R.P. (1994) Estimation of crop yield loss due to interference by multiple weed species. Weed Science 42:103-109.

Trabucco A., Achten W.M.J., Bowe C., Aerts R., Van Orshoven J., Norgrove L., Muys B. (2010) Global mapping of Jatropha curcas yield based on response of fitness to present and future climate. Global Change Biology Bioenergy 2:139-151.

Uddling J., Gelang-Alfredsson J., Piikki K., Pleijel H. (2007) Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings. Photosynth Res. 91:37–46.

Usui K. (2001) Metabolism and selectivity of rice herbicides in plants. Weed Biology and Management 1:

137–146.

Wang H., Chen Y., Zhao Y. N., Liu H. Y., Liu J. X., Makkar H. P. S., Becker K. (2011) Effects of replacing soybean meal by detoxified Jatropha curcas kernel meal in the diet of growing pigs on their growth, serum biochemical parameters and visceral organs. Animal Feed Science and Technology 170:141-146.

Weston L. A. (1990) Cover crop and herbicide influence on row crop seedling establishment in no-tillage culture. Weed Science 38(2):166-171

Wu H., Pratley J., Lemerle D., Haig T. (2001) Allelopathy in wheat (Triticum aestivum). Annals of Applied Biology 139:1-9.

Wu Q.H., Wang S.Z., Thangavel P., Li Q.F., Zheng H., Bai J., Qiu R.L. (2011) Phytostabilization Potential of Jatropha Curcas L. in Polymetallic Acid Mine Tailings. Int J Phytoremediation 13:788-804.

Yadav S.K., Juwarkar A.A., Kumar G.P., Thawale P.R., Singh S.K., Chakrabarti T. (2009)

Bioaccumulation and phyto-translocation of arsenic, chromium and zinc by Jatropha curcas L.:

Impact of dairy sludge and biofertilizer. Bioresource Technology 100:4616-4622.

Yenish J. P., Worsham A. D., York, A. C. (1996) Cover crops for herbicide replacement in no-tillage corn (Zea mays). Weed Technology 815-821.

ߕ ߕᒵ!

߄ 3ǵ࿂ᅭᐋ๴߻ନ૛Ꮚ၂ᡍϐୖ၂ᛰᏊǶ

ύЎӜ मЎӜ ୘ࠔӜ Ꮚࠠ Ԗਏԋϩ

Β,Ѥ-Ӧ 2,4-D ΒǵѤ-Ӧ ёᔸ܄ણᏊ 80%

܎૛ Alachlor ܎઩ ٢Ꮚ 41.5%

૛ಥృ Atrazine ૛ಥృ ёᔸ܄ણᏊ 50%

ҁၲໜ Bentazon լ૛ࢃ ྋన 44.1%

΍୷܎૛ Butachlor ਥҁନ ٢Ꮚ 60%

ᏳΏӼ Dinitramine പ࢏૛ ٢Ꮚ 25%

ၲԖᓪ Diuron మڰ૛ НᝌᏊ 40%

ҷ஌ද Fluazifop-butyl ܮ࿤ྃ ٢Ꮚ 17.5

ڰఠ૛ Glufosinate ԭ၂ၲ ྋన 13.5%

჏ᕗ༞ Glyphosate ᑫໜࡾ ྋన 41%

ྐ૛ữ Metazachlor লӦ๓ НᝌᏊ 43.1%

ྐѸృ Metribuzin ဃլ ёᔸ܄ણᏊ 70%

኷ྐ૛ Oxadiazon ᅀྐ૛ ٢Ꮚ 43.1%

ൺ࿢޹ Oxyfluorfen ૛คቹ ٢Ꮚ 23.5%

ࡼளল Pendimethalin ථ಍ল ٢Ꮚ 34%

ԭೲໜ Pyrazosulfuron-ethyl ࣪૛ᕷ ёᔸ܄ણᏊ 10%

זլ૛ Quinclorac ᚺլ૛ ણᏊ 50%

Ѱ௽ವӭ૛ S-metolachlor ߎ-ନᇬ ٢Ꮚ 87.3%

ΟෛК Triclopyr уၭ ٢Ꮚ 61.6%

߄ 4ǵ࿂ᅭᐋ๴߻ନ૛Ꮚ၂ᡍϐୖ၂ᛰᏊǶ

ύЎӜ मЎӜ ୘ࠔӜ Ԗਏԋϩ Ꮚໆ

૛ಥృ Atrazine ૛ಥృ ёᔸ܄ણᏊ 50.%

ၲԖᓪ Diuron మڰ૛ НᝌᏊ 40.%

ྐѸృ Metribuzin ဃլ ёᔸ܄ણᏊ 70.%

܎૛ Alachlor ܎઩ ٢Ꮚ 41.5%

΍୷܎૛ Butachlor ਥҁନ ٢Ꮚ 60.%

ࡼளল Pendimethalin ථ಍ল ٢Ꮚ 34.%

჏ᕗ༞ Glyphosate ᑫໜࡾ ྋన 41.%

ڰఠ૛ Glufosinate ԭ၂ၲ ྋన 13.5%

Β,Ѥ-Ӧ 2,4-D ΒǵѤ-Ӧ ёᔸ܄ણᏊ 80.%

ΟෛК Triclopyr уၭ ٢Ꮚ 61.6%

ҁၲໜ Bentazon լ૛ࢃ ྋన 44.1%

ҷ஌ද Fluazifop-butyl ܮ࿤ྃ ٢Ꮚ 17.5%

კ 2ǵ၂ᡍය໔Ѡчѳ֡ВྕᡂϯǶ

Fig. 2. Average day temperature in taipei during experiment.

߄ 5ǵନ૛ᏊࡼҔჹ࿂ᅭᐋᅿηว޵ϐቹៜǶ

Table 5. Germination rate of Jatropha curcas seeds treated by herbicides

Herbicide Rate Application2) Germination rate ----kg ai ha-1--- %

----Control - - 76.7a1)

Alachlor 2.50 pre 73.3ab

Atrazine 1.60 pre 66.6abc

Butachlor 1.50 pre 53.3abc

Diuron 2.00 pre 70.0ab

Metribuzin 1.50 pre 73.3ab

Pendimethalin 1.25 pre 76.7a

2,4-D 2.00 post 66.7abc

Bentazon 1.50 post 73.3ab

Dinitramine 3.00 post 73.3ab

Fluazifop-butyl 0.25 post 73.3ab

Glufosinate 1.00 post 76.7a

Glyphosate 2.50 post 73.3ab

Metazachlor 1.50 post 50.0bcd

Oxadiazon 5.00 post 30.0bcd

Oxyfluorfen 1.00 post 50.0de

Pyrazosulfuron-ethyl 0.50 post 23.3e

Quinclorac 1.00 post 56.7abc

S-metolachlor 1.20 post 43.3cde

Triclopyr 1.00 post 60.0abc

1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

2)pre, pre-emergence herbicide; post, post-emergence herbicide.

კ 3ǵόӕନ૛Ꮚჹ࿂ᅭᐋѴभғߏቹៜǶ (A)܎૛ǵ(B)૛ಥృǵ(C) ࡼளলǵ(D) ԭೲໜǶ

Fig. 3. Effect of different concentration (mg L-1) of herbicides on growth of Jatropha curcas seedling. (A) Alachlor; (B) Atrazine; (C) Pendimethalin; (D)

Pyrazosulfuron-ethyl.

კ 4ǵόӕନ૛Ꮚჹ࿂ᅭᐋѴभғߏϐᏊໆϸᔈǶ

Fig. 4. Dose-response of Jatropha curcas to alachlor based on the root and hypocotyl elongation assay.

Percentage inhibition was determined by the formula: [(control plant length − plant length incubated with alachlor)/control plant length] × 100. Means ± SE from experiment with three replicates for each treatment are shown.

߄ 6ǵନ૛Ꮚ׭ڋ࿂ᅭᐋѴभखਥϷखື՜ߏၲ 50%܌ሡᐚࡋǶ

Table 6. Herbicide concentrations causing 50% inhibition of root and hypocotyl elongation of Jatropha curcas seedling.

Herbicide Part IC50 Regression equation

Alachlor R 575 Y=6.60 + 2.81 (logX) + 4.66 (logX)2 R2=0.99 H 4,168 Y=2.39+ 8.12 (logX) + 1.38 (logX)2 R2=0.99 Atrazine R 562 Y=5.02 + 4.30(logX) + 4.38(logX)2 R2=0.99 H 32,359 Y=1.00 + 6.48(logX) + 0.97 (logX)2 R2=0.97 Pendimethalin R 467 Y=3.55 - 0.37 (logX) + 6.52 (logX)2 R2=0.97 H 10,715 Y=1.93 + 6.03 (logX) + 1.46 (logX)2 R2=0.98

Pyrazosulfuron-ethyl

R 0.003 Y= 83.09 + 9.10 (logX) -1.68 (logX)2 R2=0.97 H 1.25 Y= 48.21 + 16.84 (logX) -1.17 (logX)2 R2=0.93

1) R, Root , H, hypocotyl.

2) IC 50(mg L-1): The concentrations required for 50% growth inhibition of hypocotyls and roots

3) Investigation at 3 days after herbicides treatment.

62

კ5ǵΜΒᅿନ૛Ꮚ௢ᙚໆೀ౛ΎϺࡕ࿂ᅭᐋϐᛰ্ቻރǶ Fig.5.The symptoms caused by 12 herbicides injury inJatropha curcaswithrecommended dosage.

კ 6ǵନ૛Ꮚ Glufosinate ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 6. The effects of the Glufosinate on the growth in Jatropha curcas.

კ 7ǵନ૛Ꮚ Glyphosate ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 7. The effects of the Glyphosate on the growth in Jatropha curcas.

კ 8ǵନ૛Ꮚ Pendimethain ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 8. The effects of the Pendimethain on the growth in Jatropha curcas.

კ 9ǵନ૛Ꮚ Butachlor ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 9. The effects of the Butachlor on the growth in Jatropha curcas.

კ 10ǵନ૛Ꮚ Alachlor ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 10. The effects of the Alachlor on the growth in Jatropha curcas.

კ 11ǵନ૛Ꮚ Fluazifop-butyl ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 11. The effects of the Fluazifop-butyl on the growth in Jatropha curcas.

კ 12ǵନ૛Ꮚ 2,4-D ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 12. The effects of the 2,4-D on the growth in Jatropha curcas.

კ 13ǵନ૛Ꮚ Triclopyr ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 13. The effects of the Triclopyr on the growth in Jatropha curcas.

კ 14ǵନ૛Ꮚ Bentazon ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 14. The effects of the Bentazon on the growth in Jatropha curcas.

კ 15ǵନ૛Ꮚ Diuron ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 15. The effects of the Diuron on the growth in Jatropha curcas.

კ 16ǵନ૛Ꮚჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 16. The effects of the Metribuzin on the growth in Jatropha curcas.

კ 17ǵନ૛Ꮚ Atrazine ჹ࿂ᅭᐋғߏϐቹៜǶ

Fig. 17. The effects of the Atrazine on the growth in Jatropha curcas.

߄ 7ǵ࿂ᅭᐋ๴ࡕନ૛Ꮚ၂ᡍෳ၂ନ૛ᏊϐᏊࠠǵ٬ҔਔයᆶᏊໆǶ

Table 7. Formulation, application, and rate of herbicides tested.

Name Formulation1 Application2 Rate

Kg ai ha-1(X)3 0.5X

Alachlor EC pre 2.50 1.25

Atrazine WP pre 1.60 0.80

Butachlor EC pre 1.50 0.75

Diuron WP pre 2.00 1.00

Metribuzin WP pre 1.50 0.75

Pendimethalin EC pre 1.25 0.63

2,4-D SP post 2.00 1.00

Bentazon SL post 1.20 0.60

Fluazifop-butyl EC post 0.25 0.13

Glufosinate SL post 1.00 0.50

Glyphosate SL post 2.50 1.25

Triclopyr EC post 1.00 0.50

1)EC, emulsifiable concentrate; SL, soluble concentrate; SP, water-soluble powder; WP, wettable powder.

2)pre, pre-emergence herbicide; post, post-emergence herbicide.

3)a.i., active ingredient.

߄ 8ǵ๴߻ନ૛ᏊࡼҔࡕ࿂ᅭᐋਲ਼ଯϐᡂϯǶ

Table 8. Changes in plant height (cm) of Jatropha curcas after treatment of pre-emergence herbicides.

Herbicide Rate (kg ai ha-1)4

Day after treatment (DAT)

8 16 24 48

Control -- 46.0ab1 52.0ab 57.7a 71.8ab Alachlor 2.50 41.3bcde 39.9ef 41.9cd 55.9ef 1.25 48.2a 53.5a 57.8a 66.9bc Atrazine 1.60 36.0f 36.8fg 39.3d 3

0.80 46.0ab 45.1cd 48.5bc 61.3cde Butachlor 1.50 40.8cdef 43.7de 49.8b 63.2cd

0.75 45.9ab 48.4bc 50.2b 73.8a Diuron 2.00 37.8ef 33.7g 44.2bcd

1.00 40.1cdef 40.5ef 46.8bc 54.1f Metribuzin 1.50 44.6abcd 45.3cd 45.2bcd

0.75 45.5abc 46.1cd 46.4bc

Pendimethalin 1.25 42.0bcde 42.6de 47.5bc 56.5ef 0.63 43.9abcd 45.8cd 51.0b 59.5def

F-vaule 5.60**2 15.64** 6.97** 255.39**

1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

2) **

Significant at 1%.

3)– represented the death of plants.

4)a.i., active ingredient.

߄ 9ǵ๴߻ନ૛ᏊࡼҔࡕ࿂ᅭᐋಳ৩ϐᡂϯǶ

Table 9. Changes in stem diameter (cm) of Jatropha curcas after treatment of pre-emergence herbicides.

Herbicide Rate (kg ai ha-1)4

Day after treatment (DAT)

8 16 24 48

Control -- 1.34a1 1.47a 1.56ab 1.78ab Alachlor 2.50 0.98f 1.04cdef 1.24d 1.47cd 1.25 1.33a 1.38ab 1.53ab 1.70ab Atrazine 1.60 0.99f 1.01def 1.04ef 3)

0.80 1.14de 1.13cd 1.15de 1.32de Butachlor 1.50 1.25abcd 1.36ab 1.46bc 1.77ab 0.75 1.28abc 1.37ab 1.50abc 1.83a Diuron 2.00 1.06ef 0.95f 0.98f

1.00 1.00f 0.99ef 1.02ef 1.27e Metribuzin 1.50 1.17bcde 1.16c 1.14de

0.75 1.11ef 1.12cde 1.12de

Pendimethalin 1.25 1.29ab 1.40ab 1.62a 1.58bc 0.63 1.15cde 1.30b 1.40c 1.61bc

F-vaule 9.34**2 17.67** 31.30** 159.31**

1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

2)** Significant at 1%.

3)– represented the death of plants.

4)a.i., active ingredient.

߄ 10ǵ๴߻ନ૛ᏊࡼҔࡕ࿂ᅭᐋϩ݄ኧϐᡂϯǶ

Table 10. Changes in branch number of Jatropha curcas after treatment of pre-emergence herbicides.1

Herbicide Rate (kg ai ha-1)5

Day after treatment (DAT)

8 16 24 48

Control -- 1.0(1.2)cd2 1.0(1.2)cd 0.7(1.1)cd 0.7(1.1)d Alachlor 2.50 2.0(1.5)bc 3.0(1.7)bc 3.0(1.9)ab 1.0(1.2)cde

1.25 4.0(2.1)ab 5.7(2.4)ab 3.7(2.0)ab 2.7(1.7)bcd Atrazine 1.60 0.0(0.7)d 2.0(1.5)cd 2.7(1.6)bc 4

0.80 2.0(1.6)bc 5.7(2.5)ab 2.0(1.5)bcd 7.7(2.8)a Butachlor 1.50 1.0(1.2)cd 6.0(2.5)ab 2.0(1.6)bc 2.7(1.6)bcd

0.75 2.0(1.5)bc 2.7(1.7)bc 2.0(1.6)bc 2.7(1.7)bcd Diuron 2.00 0.7(1.1)cd 0.7(1.1)cd 0.7(1.1)cd

1.00 0.7(1.1)cd 0.7(1.1)cd 0.0(0.7)d 3.7(2.0)bc Metribuzin 1.50 0.7(1.1)cd 1.0(1.2)cd 0.7(1.1)cd

0.75 0.0(0.7)d 0.0(0.7)d 0.7(1.1)cd

Pendimethalin 1.25 4.7(2.3)a 7.7(2.9)a 6.0(2.5)a 2.7(1.7)bcd 0.63 2.0(1.6)bc 3.0(1.9)bc 3.0(1.9)ab 5.0(2.3)ab

F-vaule 4.45**3 6.45** 4.73** 8.13**

1)The original data were transformed into √x +0.5 and are highlighted in parentheses.

2)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

3)** Significant at 1%.

4)– represented the death of plants.

5)a.i., active ingredient.

߄ 11ǵ๴߻ନ૛ᏊࡼҔࡕ࿂ᅭᐋယኧϐᡂϯǶ

Table 11. Changes in leaf number of Jatropha curcas after application of pre-emergence herbicides.

Herbicide Rate (kg ai ha-1)4

Day after treatment (DAT)

8 16 24 48

Control -- 16.0ab1 18.0ab 22.7b 28.7ab Alachlor 2.50 12.7b 14.7c 17.0c 22.7c

1.25 16.7a 19.7a 22.0b 28.0ab Atrazine 1.60 13.0b 5.0d 7.7d 3

0.80 14.0ab 5.0d 6.7de 15.0d Butachlor 1.50 14.7ab 16.7bc 20.0bc 25.0bc

0.75 15.0ab 17.7ab 21.7bc 31.0a Diuron 2.00 14.7ab 3.7d 2.7e

1.00 12.7b 4.0d 5.7de 11.7d Metribuzin 1.50 15.7ab 4.0d 2.7e

0.75 15.7ab 5.0d 4.0de

Pendimethalin 1.25 15.0ab 17.0bc 19.0bc 22.0c 0.63 15.0ab 20.0a 27.0a 27.0b

F-vaule 1.42ns 2 68.93** 36.00** 113.75**

1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

2)** Significant at 1%, ns - not significant.

3)– represented the death of plants.

4)a.i., active ingredient.

߄ 12ǵ๴߻ନ૛ᏊࡼҔ 48 Ϻࡕ࿂ᅭᐋယǵಳǵਥᆶӄਲ਼ᗲख़Ƕ

Table 12. Leaf, stem, root and total plant fresh weight (g) of Jatropha curcas in the 48 days after treatment of pre-emergence herbicides.1

Herbicide Rate

(kg ai ha-1)4 Leaf Stem Root Total plant Control - 127.2(0)b2 82.7(0)b 31.7(0)bc 241.6(0)b Alachlor 2.50 84.0(34)c 80.1(3)b 20.5(35)e 184.5(24)c

1.25 118.2(7)b 100.3(-7)ab 28.7(9)cd 247.2(-2)b Atrazine 1.60 0.0(100)e 0.0(100)d 0.0(100)f 0.0(100)e

0.80 60.0(53)d 50.1(39)c 21.3(33)e 131.4(46)d Butachlor 1.50 109.1(14)b 88.7(-7)b 38.0(-20)ab 235.7(2)b

0.75 167.1(-31)a 119.1(-44)a 41.2(-30)a 327.4(-35)a Diuron 2.00 0.0(100)e 0.0(100)d 0.0(100)f 0.0(100)e

1.00 42.5(67)d 49.2(40)c 7.0(78)f 98.7(59)d Metribuzin 1.50 0.0(100)e 0.0(100)d 0.0(100)f 0.0(100)e 0.75 0.0(100)e 0.0(100)d 0.0(100)f 0.0(100)e Pendimethalin 1.25 124.2(2)b 89.9(-9)b 29.4(7)cd 243.5(-1)b

0.63 133.1(-5)b 82.9(0)b 23.3(27)de 239.2(1)b

F-vaule 59.96**3 31.47** 40.47** 52.26**

1)The inhibitions in percentage relative to untreated control are highlighted in parentheses.

2)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

3)** Significant at 1%.

4)a.i., active ingredient.

߄ 13ǵ๴߻ନ૛ᏊࡼҔ 48 Ϻࡕ࿂ᅭᐋယǵಳǵਥᆶӄਲ਼ଳख़Ƕ

Table 13. Leaf, stem, root and total plant dry weight (g) of Jatropha curcas in the 48 days after treatment of pre-emergence herbicides.1

Herbicide Rate

(kg ai ha-1)4 Leaf Stem Root Total plant Control - 16.9(0)b2 15.8(0)b 6.2(0)a 38.9(0)bcd Alachlor 2.50 10.9(36)c 16.8(-6)b 3.6(41)bcd 31.3(20)de 1.25 16.9(0)b 24.1(-52)a 6.2(0)a 47.2(-21)ab Atrazine 1.60 0.0(100)e 0.0(100)c 0.0(100)e 0.0(100)f

0.80 7.1(58)d 21.3(-35)ab 3.3(47)cd 31.7(18)de Butachlor 1.50 15.2(10)b 20.3(-28)ab 6.6(-7)a 42.1(-8)bc 0.75 21.5(-27)a 24.6(-55)a 7.2(-16)a 53.2(-37)a Diuron 2.00 0.0(100)e 0.0(100)c 0.0(100)e 0.0(100)f

1.00 6.1(64)d 16.9(-7)b 2.5(59)d 25.5(34)e Metribuzin 1.50 0.0(100)e 0.0(100)c 0.0(100)e 0.0(100)f 0.75 0.0(100)e 0.0(100)c 0.0(100)e 0.0(100)f Pendimethalin 1.25 14.7(13)b 15.6(1)b 4.8(22)b 35.1(10)cde

0.63 14.2(16)b 15.2(4)b 4.2(33)bc 33.6(14)cde

F-vaule 59.78**3 21.47** 37.19** 36.69**

1)The inhibitions in percentage relative to untreated control are highlighted in parentheses.

2)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

3)** Significant at 1%.

4)a.i., active ingredient.

߄ 14ǵ๴ࡕନ૛ᏊࡼҔࡕ࿂ᅭᐋਲ਼ଯϐᡂϯǶ

Table 14. Changes in plant height (cm) of Jatropha curcas after application of post-emergence herbicides.

Herbicide Rate (kg ai ha-1)4

Day after treatment (DAT)

8 16 24 48

Control -- 46.0a1 52.0a 57.7a 71.8a 2,4-D 2.00 31.8ef 28.8e 3

1.00 36.9cd 36.8c 29.5d 27.0e Bentazon 1.50 33.0def 34.6cd 40.4c 58.5bc

0.75 35.0de 36.1c 44.3c 57.5c Fluazifop-butyl 0.25 41.6b 46.0b 50.0b 63.5b 0.13 46.2a 50.2a 56.3a 70.8a

Glufosinate 1.00 30.5f

0.50 40.8bc

Glyphosate 2.50 32.2ef 31.5de 28.8d 26.0e 1.25 33.1def 33.5cd 32.5d 32.5d

Triclopyr 1.00 40.2bc

0.50 43.1ab

F-vaule 16.25**2 353.89** 254.92** 275.31**

1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

2)** Significant at 1%.

3)– represented the death of plants.

4)a.i., active ingredient.

߄ 15ǵ๴ࡕନ૛ᏊࡼҔࡕ࿂ᅭᐋಳ৩ϐᡂϯǶ

Table 15. Changes in stem diameter (cm) of Jatropha curcas after application of post-emergence herbicides.

Herbicide Rate (kg ai ha-1)4

Day after treatment (DAT)

8 16 24 48

Control -- 1.34a1 1.47a 1.56a 1.78a 2,4-D 2.00 1.08cdef 0.98e 3

1.00 0.98f 1.13bcd 1.07cd 1.40b Bentazon 1.50 0.99f 1.02de 1.17c 1.46b 0.75 1.09cdef 1.16bc 1.32b 1.63a Fluazifop-butyl 0.25 1.14bcd 1.25b 1.42b 1.69a 0.13 1.35a 1.39a 1.57a 1.80a Glufosinate 1.00 1.13bcde

0.50 1.19bc

Glyphosate 2.50 1.01def 1.01e 0.96e 0.95c

1.25 1.10bcdef 1.05cde 1.06de 1.06c

Triclopyr 1.00 1.00ef

0.50 1.22b

F-vaule 9.99**2 218.62** 357.24** 198.71**

1)Means followed by the same letter within a column are not significantly different (Duncan test, p = 0.05)

2)** Significant at 1%.

3)– represented the death of plants.

4)a.i., active ingredient.

߄ 16ǵ๴ࡕନ૛ᏊࡼҔࡕ࿂ᅭᐋϩ݄ኧϐᡂϯǶ

Table 16. Changes in branch number of Jatropha curcas after treatment of post-emergence herbicides.1

Table 16. Changes in branch number of Jatropha curcas after treatment of post-emergence herbicides.1

在文檔中 痲瘋樹可用除草劑之篩選 (頁 40-97)

相關文件